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You’ll be navigating large datasets, building robust queries, and identifying inconsistencies with precision and insight.
Work Location/Travel:
- If located near a Rackspace office, you’ll work a hybrid schedule… 2 days in the office and three days remote
- If not located near an office, you may work 100% remotely.
- Potential travel to the San Franciso Bay area.
Information on Rackspace benefits
Responsibilities:
- Write, optimize, and execute complex SQL queries in BigQuery to validate data accuracy, identify inconsistencies, and support analytics and reporting
- Analyze large datasets to assess data quality, compare trends across systems, and surface anomalies or unexpected behaviors
- Utilize advanced BigQuery features such as authorized views, materialized views, UDFs, partitioned tables, and joins to support scalable, high-performance analysis
- Use Python (including data frames and relevant libraries) for exploratory analysis, data manipulation, and supporting validation workflows
- Support time series analysis and, where applicable, anomaly detection using SQL or Python-based approaches
- Assist with load/transform validation
- Collaborate with engineering teams to understand data pipelines
- Perform side-by-side comparisons of data across systems to ensure consistency during and after migrations
- Use Airflow (Composer) to follow pipeline logic and collaborate effectively with engineering
- Work within the GCP environment, leveraging cloud tools and services to support analysis, troubleshoot issues, and navigate cloud-based workflows
- Bachelor’s degree in computer science or a related field
- 5+ years’ experience in data analyst or analytics engineering roles with strong BigQuery, SQL, and Python skills
- 5+ years’ experience building and operating solutions on Google Cloud Platform (GCP)
- Strong ability to write and optimize SQL queries to validate data, analyze trends, and detect inconsistencies
- Proficient in Python, including use of data frames and common analytical libraries
- Experience with advanced BigQuery features such as authorized views, materialized views, UDFs, partitions, and time series analysis
- Strong analytical skills and experience validating data across systems during migrations and ongoing operations
- Able to understand Java or Scala code.
- Familiarity with Airflow (Cloud Composer)
- The anticipated starting pay range for Colorado is: $ 143,700 - $ 210,760
- The anticipated starting pay range for the states of Hawaii and New York (not including NYC) is: $ 153,000 - $ 224,400
- The anticipated starting pay range for California, New York City and Washington is: $ 167,400 - $ 245,520
About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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